光谱学与光谱分析, 2015, 35 (1): 38, 网络出版: 2015-01-28   

超光谱成像技术应用于神经分类的研究

Nerve Classification with Hyperspectral Imaging Technology
作者单位
1 华东师范大学极化材料与器件教育部重点实验室, 上海 200241
2 华东师范大学科学与技术跨学科高等研究院, 上海 200062
3 复旦大学附属中山医院骨科, 上海 200032
摘要
在外科神经修复手术中, 断端神经束性质的识别成为良好修复的关键。现有的一些神经束识别的方法不太理想。分子超光谱成像技术同时提供生物组织图像和光谱两方面的信息, 对检测目标可进行定性、定量和定位的描述, 可对不同的生物组织从光谱特性的角度识别、分类并在图像上定位;相比较于其他医学成像技术, 具有独特的优势。本研究把超光谱成像技术应用于神经束的识别和分类研究中, 以期通过不同神经束的特征光谱来识别并分类神经束, 并借助图像光谱信息确定神经束在图像中的定位, 以便更好的辅助外科手术人员开展神经修复手术。研究意义在于: 提出一种全新的神经束识别和定位的方法, 辅助外科人员提高神经修复的疗效;储备超光谱成像技术应用于生物组织的定性定量定位分析和研究的技术, 加快超光谱成像技术向实用阶段进展的步伐。
Abstract
In surgical nerve repair surgery, the identification of nerve fascicles is a key to a good repair of their broken end. Some of the existing nerve fascicles identification method are not ideal. Hyperspectral imaging (HSI) technology provides information of images and spectra of biological tissue at the same time. It can supply a qualitative, quantitative and positioning description of the test objectives, and identify different biological tissues by biochemical characteristic difference, and classify and position these tissues in the image. Compared to other medical imaging technology, this technology has unique advantages. In this study, the hyperspectral imaging technology is used in the identification and classification of the nerve fascicles by the spectral characteristics of different nerve fascicles, and in determining the orientation of the nerve fascicles in the image by the image spectral information in order to better help surgical personnel to carry out the nerve repair surgery. The significance of this paper is: the first to propose a new method of identification and location of the nerve fascicles and assist surgical staff to improve the efficacy of nerve repair;the second to reserve hyperspectral imaging techniques used in qualitative and quantitative and orientation research combined with biological organization, and speed up the molecular hyperspectral imaging technology to the practical stage.

刘洪英, 顾文荃, 李庆利, 王依婷, 陈增淦, 徐沁同. 超光谱成像技术应用于神经分类的研究[J]. 光谱学与光谱分析, 2015, 35(1): 38. LIU Hong-ying, GU Wen-quan, LI Qing-li, WANG Yi-ting, CHEN Zeng-gan, XU Qin-tong. Nerve Classification with Hyperspectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2015, 35(1): 38.

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